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Simultaneous Intracranial EEG-fMRI Shows Inter-Modality Correlation in Time-Resolved Connectivity Within Normal Areas

Ben Ridley1,2, Jonathan Wirsich3,4,5, Gaelle Bettus3,4,5

  • 1Aix-Marseille Univ, CNRS, CRMBM UMR, 7339, Marseille, France. ben.ridley@univ-amu.fr.

Brain Topography
|February 15, 2017
PubMed
Summary

This study reveals distinct brain connectivity patterns in epilepsy patients using simultaneous invasive EEG-fMRI. Epilepsy zones show altered functional connectivity dynamics compared to healthy brain regions, impacting seizure generation.

Keywords:
ConnectivityDynamic connectivityFocal epilepsyMultimodal imagingResting-state

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Area of Science:

  • Neuroscience
  • Epilepsy Research
  • Brain Connectivity

Background:

  • Understanding brain network alterations in epilepsy is crucial for treatment.
  • Previous studies suggest discrepancies in functional connectivity between different brain regions in epilepsy.
  • Simultaneous invasive electroencephalography (icEEG) and functional magnetic resonance imaging (fMRI) offer a powerful tool to investigate these discrepancies.

Purpose of the Study:

  • To investigate the link between resting-state haemodynamic (fMRI) and electrophysiological (icEEG) connectivity in humans for the first time.
  • To quantify inter-modal connectivity correlation (IMCC) within healthy non-involved zones (NIZ) and epileptic zones (IZ1 and IZ2).
  • To explore the dynamics of functional connectivity (FC) variability over time in these different brain regions.

Main Methods:

  • Simultaneous icEEG-fMRI recordings were obtained from nine drug-resistant epilepsy patients.
  • Functional connectivity (h²) and its temporal variability (vh²) were calculated for both icEEG and fMRI signals within NIZ, IZ1, and IZ2.
  • A sliding window approach was used to assess connectivity dynamics.

Main Results:

  • Significant positive IMCC for both h² and vh² was observed in the NIZ across multiple frequency bands, particularly lower icEEG frequencies.
  • Intra-modal connectivity (h² and vh²) differed significantly between epileptic zones: h² was higher in IZ1 (seizure onset) but lower in IZ2 (spikes only), with vh² showing the inverse pattern.
  • Epileptic zones (IZ1) exhibited elevated internal connectivity and reduced dynamical variability, suggesting a link to epileptogenesis and sustained pathological states.

Conclusions:

  • This study provides the first direct, invasive, and simultaneous comparison of inter-modal connectivity discrepancies in human pathological cortices.
  • Altered functional connectivity dynamics in epileptic zones are confirmed, offering insights into the mechanisms of seizure generation and propagation.
  • The findings highlight the potential of simultaneous icEEG-fMRI for characterizing epilepsy-related brain network disturbances and their temporal evolution.